Staff Machine Learning Engineer

The role

You will design and deploy machine learning models, ranking algorithms, and optimization systems for an advertising platform. You will lead technical projects and mentor engineers to evolve enterprise-grade ML infrastructure.

What you will do

• Architect, build, and deploy large-scale machine learning and deep learning models
• Develop advanced techniques for automated mechanisms like auto-bidding and query expansion
• Design systems that provide actionable suggestions and insights to advertisers
• Architect and evolve end-to-end machine learning platform for high-throughput requests
• Maintain high standards for code quality, system reliability, and automated testing
• Lead large-scale technical projects spanning multiple engineering teams
• Provide technical guidance, code reviews, and architectural mentorship to engineers
• Collaborate with Product Management, Data Science, and Business Leadership

Required qualifications

• Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields
• 4 years of professional experience in applied machine learning
• Experience in machine learning, deep learning, and statistical modeling
• Proficiency in Python and/or Java
• Experience in building production grade ML systems

Nice to have

• Master’s or PhD in relevant technical fields
• Experience with search systems, information retrieval or recommendation engines
• Experience with LLMs, embeddings, and vector search technologies
• Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker
• Experience working in startup or high-growth environments
• Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization
• Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikitlearn, Keras, XGBoost, LightGMB, and H2o.ai
• Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
• Demonstrated ability to work independently and manage ambiguity in fast-paced environments

Benefits

• Annual bonus is 0-20% of the base salary
• Medical/Dental/Vision/Life, AD&D insurance
• Flexible Spending Accounts (FSA) & Health Savings Account (HAS)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of Paid Time Off (PTO) a year based on the tenure
• 12 Paid Holidays
• Paid Parental leave
• Pre-tax commuter benefits
• MTV- [Free] Electric Car Charging Station

Before you apply

• Complete the attached Internal Transfer Request Form and submit
• Apply with your Coupang e-mail address

About the company

Coupang is a commerce company with a startup culture and the resources of a large global public company. They aim to disrupt the commerce industry by making shopping, eating, and living easier.